Evidence map›Paper›PMID 40066504›Full record

ArticleSmall methods2025

High-throughput Photoactive Magnetic Microrobots for Food Quality Control.

Roberto Maria-Hormigos, Carmen C Mayorga-Martinez, Jeonghyo Kim, Martin Pumera

Abstract read
In one paragraph

Article in Small methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Roberto Maria-HormigosFuture Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology (CEITEC-BUT), Purkyňova 123, Brno, 61200, Czech Republic.
Carmen C Mayorga-MartinezAdvanced Nanorobots and Multiscale Robotics Lab, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava, 70800, Czech Republic.
Jeonghyo KimAdvanced Nanorobots and Multiscale Robotics Lab, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava, 70800, Czech Republic.
Martin PumeraFuture Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology (CEITEC-BUT), Purkyňova 123, Brno, 61200, Czech Republic.ORCID https://orcid.org/0000-0001-5846-2951

Funding

Czech Science Foundation (GACR) project 22-04132IERDF/ESF project TECHSCALE CZ.02.01.01/00/22_008/0004587European Union under REFRESH-Research Excellence for Region Sustainability and High-tech Industries project CZ.10.03.01/00/22_003/0000048
6 · The paper itself

Abstract

Ensuring food quality and safety according to stringent global standards requires analytical procedures that are accurate, cost-effective, and efficient. This present innovative high-throughput microrobots designed for the detection of antioxidants in food samples. These microrobots consist of photocatalytic bismuth subcarbonate anchored on silica-coated magnetite nanoparticles. Upon exposure to UV light, they generate reactive oxygen species via photocatalysis, which oxidize the colorless dye into a green-colored radical cation. The presence of antioxidants inhibits this reaction, allowing for the quantification of antioxidant activity. The magnetic Fe₃O₄/SiO₂ core enables steering of the microrobots using a transverse rotating magnetic field, facilitating automated assays on a custom-designed 3D-printed sensing platform. This results demonstrate that these magneto-photocatalytic microrobots can perform automated, high-throughput assessments of food quality, representing a significant advancement in food analysis technology.

Indexed as

Food AnalysisFood QualityHigh-Throughput Screening AssaysRoboticsAntioxidantsMagnetite NanoparticlesQuality ControlSilicon DioxideUltraviolet RaysAntioxidantsMagnetite NanoparticlesSilicon Dioxidefood analysismicrorobotsnanorobots

Identifiers

PMID40066504
PMCPMC12285628

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.